TY - JOUR
T1 - Fitting growth models to otolith increments to reveal time-varying growth
AU - Essington, Timothy E.
AU - Matta, Mary Elizabeth
AU - Black, Bryan A.
AU - Helser, Thomas E.
AU - Spencer, Paul D.
N1 - Funding Information:
This work was supported by a grant through the National Oceanic and Atmospheric Administration’s Fisheries and the Environment (FATE) program and by the Joint Institute for the Study of the Atmosphere and Ocean (JISAO) under NOAA Cooperative Agreement NA15OAR4320063, Contribution No. 2020-1083. Otolith archives were supported by the National Science Foundation under Grant Number 1202709, T.W. Pietsch, Principal Investigator. Reference to trade names does not imply endorsement by the National Marine Fisheries Service, NOAA. The scientific results and conclusions, as well as any views or opinions expressed herein, are those of the author(s) and do not necessarily reflect those of NOAA or the Department of Commerce. We thank Ingrid Spies and Jim Ianelli who gave helpful comments on an earlier draft of this paper. Data and code used for analysis can be obtained at https://github.com/ tessington/biochronology.
Funding Information:
This work was supported by a grant through the National Oceanic and Atmospheric Administration?s Fisheries and the Environment (FATE) program and by the Joint Institute for the Study of the Atmosphere and Ocean (JISAO) under NOAA Cooperative Agreement NA15OAR4320063, Contribution No. 2020-1083. Otolith archives were supported by the National Science Foundation under Grant Number 1202709, T.W. Pietsch, Principal Investigator. Reference to trade names does not imply endorsement by the National Marine Fisheries Service, NOAA. The scientific results and conclusions, as well as any views or opinions expressed herein, are those of the author(s) and do not necessarily reflect those of NOAA or the Department of Commerce. We thank Ingrid Spies and Jim Ianelli who gave helpful comments on an earlier draft of this paper. Data and code used for analysis can be obtained at https://github.com/ tessington/biochronology.
Publisher Copyright:
© Canadian Science Publishing. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Identifying changes in fish growth is important for accurate scientific advice used for fisheries management, because environmental change is affecting fish growth and size-at-age is a critical component of contemporary stock assessment methods. Growth-increment biochronologies are time series of growth-increments derived from hard parts of marine organisms that may reveal dynamics of somatic fish growth. Here we use time series of otolith increments of two fish stocks to fit and compare a biologically derived growth model and a generalized statistical model. Both models produced similar trajectories of annual growth trends, but the biologically based one was more precise and predicted smaller interannual fluctuations than the statistical model. The biologically based model strongly indicated covariance between anabolic and catabolic rates among individuals. Otolith size-at-age did not closely match fish length-at-age, and consequently the growth model could not accurately hindcast observed fish length-at-age. For these reasons, fitted growth dynamics from otolith biochronologies may best suited to identify growth rate fluctuations, understand past drivers of growth dynamics, and improve ecological forecast in the face of rapid environmental change.
AB - Identifying changes in fish growth is important for accurate scientific advice used for fisheries management, because environmental change is affecting fish growth and size-at-age is a critical component of contemporary stock assessment methods. Growth-increment biochronologies are time series of growth-increments derived from hard parts of marine organisms that may reveal dynamics of somatic fish growth. Here we use time series of otolith increments of two fish stocks to fit and compare a biologically derived growth model and a generalized statistical model. Both models produced similar trajectories of annual growth trends, but the biologically based one was more precise and predicted smaller interannual fluctuations than the statistical model. The biologically based model strongly indicated covariance between anabolic and catabolic rates among individuals. Otolith size-at-age did not closely match fish length-at-age, and consequently the growth model could not accurately hindcast observed fish length-at-age. For these reasons, fitted growth dynamics from otolith biochronologies may best suited to identify growth rate fluctuations, understand past drivers of growth dynamics, and improve ecological forecast in the face of rapid environmental change.
UR - http://www.scopus.com/inward/record.url?scp=85122435025&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85122435025&partnerID=8YFLogxK
U2 - 10.1139/cjfas-2021-0046
DO - 10.1139/cjfas-2021-0046
M3 - Article
AN - SCOPUS:85122435025
SN - 0706-652X
VL - 79
SP - 159
EP - 167
JO - Canadian Journal of Fisheries and Aquatic Sciences
JF - Canadian Journal of Fisheries and Aquatic Sciences
IS - 1
ER -